Triple

T16363885
Position Surface form Disambiguated ID Type / Status
Subject Akwa Ibom State House of Assembly E397383 entity
Predicate locatedInCity P40 FINISHED
Object Uyo E87285 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Uyo | Statement: [Akwa Ibom State House of Assembly, locatedInCity, Uyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyo
Context triple: [Akwa Ibom State House of Assembly, locatedInCity, Uyo]
  • A. Uyo chosen
    Uyo is the capital city of Akwa Ibom State in southeastern Nigeria, known as an administrative, commercial, and cultural center in the region.
  • B. Ekpoma
    Ekpoma is a prominent town in southern Nigeria known for hosting Ambrose Alli University and serving as an important educational and commercial center in Edo State.
  • C. Abakaliki
    Abakaliki is a major city in southeastern Nigeria known as an administrative, commercial, and agricultural hub.
  • D. Nkawkaw
    Nkawkaw is a major commercial town and transport hub in southern Ghana, located along the Accra–Kumasi highway at the base of the Kwahu Plateau.
  • E. Auchi
    Auchi is a prominent town in southern Nigeria known as a commercial and educational hub within Edo State.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3aada88190a6e01f04c494a6ac completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.